InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Cloudflare's Precursor Detects Bots and AI Agents through Continuous Behavioral Analysis
Cloudflare recently introduced Precursor, a client-side behavioral analysis engine that continuously evaluates session interactions, such as mouse movements and keyboard timing, to improve detection of sophisticated bots and AI agents without relying solely on one-time challenges like CAPTCHAs.
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Cloudflare Launches Persistent, Stateful, Computer-Like Environments for Agents
Cloudflare has introduced Cloudflare Computer, a new open-source runtime designed to give AI agents something closer to a real "computer" instead of just ephemeral containers. It leverages Cloudflare isolates for fast serverless execution, making agents cheaper, faster, and more scalable, according to the company.
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Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents
Instacart introduced Blueberry, an AI-assisted incident response system that helps on-call engineers investigate production issues faster. It combines AI agents, operational data, and historical incident knowledge to generate grounded root cause hypotheses in Slack. It uses parallel subagents, MCP integrations, and incident history to reduce investigation time while keeping engineers in control.
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AI Is Transforming Incident Response - But the Hardest Problems May Still Belong to Humans
Artificial intelligence is rapidly changing how engineering teams respond to production incidents, offering the ability to summarize incident channels, analyze unfamiliar code, suggest remediation steps, generate pull requests, and increasingly assist with diagnosis.
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Azure API Management Adds Dedicated AI Gateway Tier, Governing Models and MCP Tools
Microsoft released a dedicated AI Gateway tier of Azure API Management in public preview, with a control plane built around models, MCP servers and tools rather than APIs. It fronts Foundry, Bedrock, Vertex AI and OpenAI behind one endpoint, with policy cards instead of XML. Architects welcomed the consolidation while questioning where the governance boundary sits.
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Pods as Workers, Not Agents: Rethinking the Deployment Unit for AI Agents on Kubernetes
Running AI agents on Kubernetes raises a key question: should each agent get its own Pod? The kagent project argues no—agents are bursty, short-lived, can spawn subagents, and may wait for human approval, making one Pod per agent wasteful. Agent-substrate adds a control plane to schedule logical “Actors” onto long-lived worker Pods.
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Vercel Labs Ships Zero: a Graph-First Language Built So Agents Write the Code
Vercel Labs has introduced Zero, an experimental systems programming language aimed at AI rather than human users. It employs unique features like a specific toolchain contract and structured error messages. Reaching version 0.3.4, it compiles to native binaries for major operating systems. The language prioritizes size, speed, and agent usability, though it is still in development.
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Ponytail Agent Skill Corrects its Own Benchmark after Contributor Challenge
A single-author repo of instruction files, not code, Ponytail passed 44,000 GitHub stars in nine days by making coding agents stop over-building. Its headline claim of 80-94% less code came from a flawed baseline; after a contributor said so, the maintainer rebuilt the benchmark as a real agentic run and published a lower figure of 54%.
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Platform Engineering Maturity Emerges as a Key Differentiator for Enterprise AI Success
Platform engineering maturity is emerging as an important factor in determining whether organizations can turn AI adoption into sustainable operational value, according to Perforce Software's 2026 Platform Engineering Report.
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Swarm of OpenAI Agents Exploit Artifactory Zero-Day to Escape Sandbox and Breach Hugging Face
Security disclosures highlighted vulnerabilities in AI evaluations of autonomous cyber capabilities. Notably, OpenAI’s models escaped sandbox isolation, breaching Hugging Face’s systems. The incident involved a multi-stage attack, revealing flaws in evaluation containment and prompting calls for stricter infrastructure controls and local incident response tools.
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Azure and Community Guidelines on Choosing between a Skill or a Sub-Agent
In a recent Azure Architecture blog article, Azure lead engineer Kishorekumar Pattabiraman outlines practical criteria for choosing between skills, sub-agents, and other approaches when building AI systems, emphasizing reusability, simplicity, and long-term maintainability.
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HubSpot Redesigns JITA Authorization with Rule Engine Architecture
HubSpot has redesigned its Just-In-Time Access (JITA) authorization system using a rule engine architecture. The system evaluates access requests through independent rules organized as a directed acyclic graph, adding structured decision metadata, rule-level observability, and governance workflows to replace complex conditional authorization logic.
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Microsoft Agent Framework Harness and Hosted Agents Reach General Availability
Microsoft's Agent Framework now ships a supported runtime. Build 2026 brought the Agent Harness, the GitHub Copilot and Claude Agent SDK connectors, and the orchestration patterns to stable release; the harness and Foundry Hosted Agents have since reached GA. The shift is from an SDK for building agents to a governed platform for running them.
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Embabel Agent Framework Reaches 1.0
Embabel has reached its 1.0 release, providing a framework for AI agents on Java It allows Java and Kotlin developers to define agents as typed domain objects. Built on Spring AI, Embabel supports multiple model providers and combines planning with predefined state machines, offering flexibility for agent workflows.
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Dropbox Integrates MCP and Dash to Close the Gap between Security Design and Code Review
Dropbox has integrated Model Context Protocol (MCP) with its internal knowledge platform, Dash, to surface security design context during AI assisted code reviews. The system retrieves threat models and security requirements for pull requests, helping reviewers validate implementation against design intent. An InfoQ Q&A explores the architecture and key lessons learned.